Retrieval and grounding
Chunking, embedding and search tuned to your content, with citations back to the source so a user can check any answer.
Custom AI solutions
Retrieval pipelines, agents and internal copilots built on your own data, delivered inside the tools your teams already use.
Best for
- Teams with knowledge trapped in documents and inboxes
- Businesses whose data cannot leave their environment
- Product owners adding AI to an existing application
- 9 wks
- Typical pilot to production
- Cited
- Every answer traced to a source
- Your stack
- Built to run in your environment
What it is
Built on your data, not the open internet.
Off the shelf assistants do not know your products, your policies or your customers. We build systems grounded in your own documents, records and systems, so answers are traceable and genuinely useful.
Typical builds are a retrieval pipeline over internal knowledge, an agent that completes a multi step task end to end, or a copilot embedded in the CRM, service desk or case management tool your team lives in.
What we do
The work, item by item.
Each engagement covers the same four areas, weighted to where your risk and value actually sit.
Agents and tools
Task agents that call your systems through approved interfaces, with permissions, guardrails and a human approval step where the risk is high.
Embedded copilots
Assistants that sit inside the application your team already opens, so adoption does not depend on a new tab or a new habit.
Integration and hardening
Authentication, logging, rate limits, fallbacks and the operational work that turns a prototype into something supportable.
How we implement
The steps, and what you get at each one.
Fixed deliverables, agreed durations and a decision point at the end of every step.
- 01
Prototype
2 to 3 weeks
A working slice against real data, in front of real users, so the conversation is about behaviour rather than a concept.
Deliverables
- Working prototype
- Evaluation baseline
- Agreed success measures
- 02
Build
6 to 12 weeks
We build in fortnightly increments with your engineers pairing in, so the code and the knowledge both stay in house.
Deliverables
- Production system
- Integration to core tools
- Test and evaluation suite
- 03
Harden
2 to 4 weeks
Security review, monitoring, cost controls and documentation, then a staged rollout to the wider team.
Deliverables
- Security and data review
- Monitoring and alerting
- Rollout and handover pack
Related
Often paired with.
Next step
Talk it through with the team who would do the work.
A 30 minute call on custom ai solutions, what it would take in your business, and whether it is worth doing at all.